Computerized Control Systems and Automatics
8.151.00.06 Computerized Control Systems and Automatics
Qualification awarded: Master in Automation and Computer-Integrated Technologies
Entry year: 2021
Mode of study: full
Program duration: 1.5 years
Institute: Institute of Computer Technologies, Automation and Metrology
Number of credits: 90 ECTS credits
Level of qualification according to the National Qualification Framework and the European Qualifications Framework: NQF Level 7 (Second cycle of QF-EHEA / EQF Level 7)
Field(s) of study: Automation and instrumentation
Specific admission requirements: Availability of a Bachelor's Degree
Qualification requirements and regulations, including graduation requirements: The full implementation of the curriculum and defense of master's qualifying work
Characteristics of the educational program: The program is based on the known positions and results of modern scientific and technological research on digital methods of signal processing and imaging, intelligent management technologies, synthesis of digital systems automation, computer simulation, experimental design and planning studies, computer technology and programming, flexible robotic systems automated production.
Gained competence: - deep knowledge of scientific concepts, theories, and methods required for research and synthesis of computer-integrated automation systems and robotic complexes of flexible automated production;
- knowledge of techniques and principles of linear programming to optimize static control systems;
- know the main technical and economic characteristics of systems and software and technical means of measurement automation, control and diagnostics, methods of their improvement;
- know the life cycle of integrated automated control systems; content and sequence of procedures for the construction of functional and structural schemes of computer-integrated control systems and robotic complexes of flexible automated industries;
- knowledge of the theory of neural networks, algorithms for teaching neural networks, neural control technology, methods of dynamic analysis and synthesis of neural networks;
- knowledge of methods and ways of processing signals and images, basic approaches to converting signals from one area to another, methods and means of digital filtering, and compression of signals and images;
- knowledge of technical and software tools for the analysis and synthesis of digital control systems;
- knowledge of computer methods for modeling and optimizing computer-integrated automation systems and robotic complexes of flexible automated industries.
- be able to choose the necessary method of converting signals, convert signals from one area to another, perform digital filtering and compression of signals, in particular, image signals;
- be able to skillfully evaluate the possibility of using computer-integrated automation systems under these specific production conditions; ensure the necessary coordination of computer-integrated automation systems with existing ones in production;
- be able to use modern programming methods and tools to study the feasibility of implementing computer-integrated automation systems and robotic complexes of flexible automated industries in order to meet the information needs of users;
- be able to apply methods of dynamic analysis and synthesis for the study of computer-integrated systems of automation and robotic complexes of flexible automated productions, made on the basis of neural networks and elements of fuzzy logic;
- to study the components and processes of computer-integrated automation systems and robotic complexes of flexible automated productions and reduce the cost of the design process, by avoiding complex full-time experiments, being able to develop mathematical models for these systems, perform the calculation of transitional and established processes and conduct optimization;
- be able to explore possible ways to increase the efficiency of lines and channels of information transmission in computer-integrated automation systems and robotic complexes of flexible automated industries;
- be able to search for information in different sources to solve the problems of specialization.
- the ability to communicate, including oral and written communication in Ukrainian and one of the foreign languages (English, German, Italian, French, Spanish);
- the ability to use various methods, including information technologies, for effective communication at the professional and social levels.
Academic mobility: No, but mobility is encouraged and recognized in accordance with procedures ECTS
Work placement(s): Practice Research on the theme master's qualifying work
Programme director: Doctor of Technical Sciences, prof. Buchma Igor Mikhailovich (032-258-21-97. e-mail: Ihor.M.Buchma@lpnu.ua)
Access to further studies: Obtaining third (educational and scientific / educational and creative) level